Luis Rendón-Pimentel

National Water Commission of Mexico, Coyoacán, The Federal District, Mexico

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Publications (3)2.2 Total impact

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    ABSTRACT: In the last two decades, Mexican irrigated agriculture has faced large changes as a result of recurrent droughts and the transfer of irrigation management from the federal government to Water User Associations (WUA). The associations face a great challenge in the efficient operation of water distribution networks and use of water. Under water scarcity conditions, new irrigation management strategies must be implemented to estimate irrigation requirements at field scale and integrate them into several operating levels of the irrigation network. A computer tool, Spriter, was developed and transferred to several WUA of Mexican irrigation districts. The system allows the dynamic generation of digital map reports, as mapping of physical features of fields is linked to the main database. Software applications are presented to illustrate the advantages of using spatial information technologies to improve water management in large irrigation districts.
    Agricultural Water Management 02/2007; · 2.20 Impact Factor
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    ABSTRACT: The rational use of irrigation water and fertilizers is essential to improve farmer's income and to preserve the environment. The application of fertilizers along with irrigation water is a recently introduced technological alternative to traditional fertilization which is meant to improve crop yields, save water and electric energy, and also to reduce operation costs of water pumping equipments. The objective of the present research was to compare two irrigation technologies: traditional (P) and improved (T), and to measure the response of maize's yield (Zea mays) to nitrogen fertilizer applied in fertirrigation and in the traditional way. The experiment was carried out in module 2 of the Valle del Carrizo Irrigation District (DR 076), Sinaloa, Mexico. The so called traditional irrigation technology is the one used by farmers, and the improved one is a proposal made by the Instituto Mexicano de Tecnología del Agua (IMTA). Before sowing, all experimental plots were irrigated with 108 mm water depth. The water depth in T was estimated by a forecast computational system in real time (SIRTRE) and in P they correspond to those recommended by the DR 076. The Surface Irrigation Simulation Model (RIGRAV) was calibrated in situ to efficiently irrigate all treatments. The experimental design had a restricted randomization, incluiding two factors: Nitrogen fertilization rate and irrigation technologies. The first factor included four N levels: Control without fertilizer (N1=0 kg N ha-1), traditional fertilization (N 2=240 kg N ha-1), an estimated rate based on potential yields (N 3=400 kg N ha -1 ), and a
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    ABSTRACT: A numerical model for water transfer simulation in shallow water tables is presented. The model is based on a differential equation resulting fom the integration of Richards' equation in the vertical direction. The numerical scheme to solve this equation is obtained from its integration using a finite element approach in space, and from the integration using a finite difference-centered-scheme approach in time. The solution domain used in the construction, calibration, and application of the model was the irrigation district 076 "Valle del Carrizo" located in the northern part of the State of Sinaloa, México. The application of the model was carried out in two stages: the first is an inverse simulation to estimate the recharge flow for several periods of time, and the second is a direct simulation of the response of the system under different scenarios. It was concluded that the model is very useful for planning purposes. Additionally, a study on spatial variability of shallow water-table fluctuation in the domain study is presented, where semivariograms of this variate can be adequately represented by a potential theoretical semivariogram with an exponent b=1.5, and this is uniquely related to the fractal dimension (D@2.25) for shallow water-table surfaces.